Michael Minella is a software engineer, teacher, speaker, and author with over 15 years of enterprise development experience. He currently works for Pivotal as the project lead for the Spring Batch and Spring Cloud Task projects as well as an instructor at DePaul University. Michael has spoken on a number of java, Spring, and big data topics and is a JavaOne Rockstar. He was a member of the expert group for JSR-352 (java batch processing). Michael is the author of Pro Spring Batch from Apress and the popular Refcard JUnit and EasyMock.

Outside of the daily grind, Michael enjoys spending time with his family and enjoys woodworking, photography and InfoSec hobbies.

Modern batch processing with Spring Batch

This talk will explore the latest release of Spring Batch as well as how to utilize it in a modern cloud environment. We will work through building a cloud native batch process using Spring’s stack including Spring Batch, Spring Cloud Task, and other cloud tools as well as dive into what makes developing batch processes for the cloud both attractive as well as easy!

Data Processing With Microservices

When the word “microservice” comes up, many thoughts go directly to REST endpoints powering websites. However, applying the 12 factor concepts to batch and integration style workloads can provide immense benefits. In this talk, we will walk through creating data microservices for both streaming applications (integration) via Spring Cloud Stream as well as short lived microservices via Spring Cloud Task. We’ll finish by looking at how Spring Cloud DataFlow can be used to orchestrate these microservices into useful applications. A general knowledge of Spring and Spring Boot will be useful for this talk.